• DocumentCode
    327725
  • Title

    Stable, robust and off-the-shelf methods for graphics recognition

  • Author

    Tombre, Karl ; Ah-Soon, Christian ; Dosch, Philippe ; Habed, Adlane ; Masini, Gérald

  • Author_Institution
    CNRS, Vandoeuvre-les-Nancy, France
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    406
  • Abstract
    We claim that time has come in graphics recognition for choosing stable and robust methods, even (or especially) when this means implementing methods proposed by others, instead of inventing a new algorithm which ends up being a minor variation on an old idea. In this spirit, we present some of the choices we have made. We do not cover the whole range of methods and steps used in graphics recognition, but rather concentrate on those which we deem the most crucial and time consuming, in terms of development time, in the design of a graphics recognition system. They include: binarization, text-graphics segmentation, thin-thick separation, vectorisation and arc recognition, and tiling
  • Keywords
    computer vision; image recognition; image segmentation; arc recognition; binarization; graphics recognition; text-graphics segmentation; thin-thick separation; tiling; vectorisation; Character recognition; Graphics; Image analysis; Image recognition; Merging; Performance evaluation; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711167
  • Filename
    711167